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Tests chosen for your data, run properly, and reported in your style.
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The analysis chapter decides the grade, yet it is where most students are least sure — what test to run, what the output means, and how to write it up so it reads as yours.
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We run the analysis with you, explain what each output means, and hand over results you can defend in a viva.
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Each card opens a full resource with the checklist and the honest version.

Tests chosen for your data, run properly, and reported in your style.
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The section that shows you understand your sample before testing it.
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A model is only as good as the assumptions you checked before it.
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Association is not cause, and your write-up should say so.
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Most analysis time is cleaning. It is also where errors are born.
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Numbers on a page are not findings until someone explains them.
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Learn the test you are using, so you can defend it in the room.
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Working code, commented, and explained so you can talk through it.
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Normalised schema, queries that scale, and an ER diagram that matches.
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Front end, back end, and the documentation that gets marked.
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A model is the easy part. The evaluation is what is marked.
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